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Integrating Amazon EC2 with the CMS Production Framework

As cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for d...

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Autor principal: Melo, Andrew Malone
Lenguaje:eng
Publicado: 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1516070
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author Melo, Andrew Malone
author_facet Melo, Andrew Malone
author_sort Melo, Andrew Malone
collection CERN
description As cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for dynamic scaling of the available hardware resources, providing access to peak-load handling capabilities and possibly resulting in lower costs to the experiment. Here we discuss current work within the CMS collaboration at the LHC to both perform computation on EC2, both for production and analysis use-cases. We also discuss break-even points between dedicated and cloud resources using real-world costs derived from a CMS site.
id cern-1516070
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
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spelling cern-15160702019-09-30T06:29:59Zhttp://cds.cern.ch/record/1516070engMelo, Andrew MaloneIntegrating Amazon EC2 with the CMS Production FrameworkDetectors and Experimental TechniquesAs cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for dynamic scaling of the available hardware resources, providing access to peak-load handling capabilities and possibly resulting in lower costs to the experiment. Here we discuss current work within the CMS collaboration at the LHC to both perform computation on EC2, both for production and analysis use-cases. We also discuss break-even points between dedicated and cloud resources using real-world costs derived from a CMS site.CMS-CR-2011-348oai:cds.cern.ch:15160702011-12-06
spellingShingle Detectors and Experimental Techniques
Melo, Andrew Malone
Integrating Amazon EC2 with the CMS Production Framework
title Integrating Amazon EC2 with the CMS Production Framework
title_full Integrating Amazon EC2 with the CMS Production Framework
title_fullStr Integrating Amazon EC2 with the CMS Production Framework
title_full_unstemmed Integrating Amazon EC2 with the CMS Production Framework
title_short Integrating Amazon EC2 with the CMS Production Framework
title_sort integrating amazon ec2 with the cms production framework
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1516070
work_keys_str_mv AT meloandrewmalone integratingamazonec2withthecmsproductionframework